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Applied nursing research : ANR · 2022

Comparative effectiveness of different acupuncture courses in functional constipation: A Bayesian network meta-analysis of clinical trials.

СтатьяПоддержка исследования: вне правительства СШАNetwork Meta-AnalysisНазвание и аннотация: Перевод пока не подготовлен
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Wang Lu, Chen Ying, Cao Wei, Xu Mingmin, Yao Junpeng, Liu Ying, Zheng Qianhua, Li Ying

Аннотация

AIM: The purpose of this study was to examine the comparative effectiveness of different acupuncture courses for functional constipation (FC).

BACKGROUND: There is a need to optimize the treatment course of acupuncture for FC to improve efficacy and save health resources.

METHODS: We performed a systematic electronic search of eight databases from inception to April 2021. Randomized controlled trials comparing acupuncture treatment with sham acupuncture were included. The main outcome indicators were complete spontaneous bowel movement (CSBM), spontaneous bowel movement, Bristol Stool Form Scale (BSFS), responder rate and safety evaluation (SE).

RESULTS: In this network meta-analysis, 19 studies with 1753 participants and 8 different acupuncture treatments were included. Using the consistency model via Monte Carlo simulation iterations, we found that the effect of acupuncture treatment at 3/4 weeks may be better in terms of CSBM and BSFS. The results of rank probability analysis showed that 6 weeks of treatment may be better for the responder rate, and 2 weeks of treatment may be better for SE. And, subgroup analysis found that, for patients with chronic severe functional constipation (CSFC), 8 weeks of acupuncture treatment may be the best for CSBM.

CONCLUSIONS: By indirect comparison, 3/4 weeks of acupuncture treatment may be the optimal course of treatment for FC in terms of improving bowel frequency and stool shape. And for CSFC, 8 weeks of acupuncture treatment may be the best. However, there is still a lack of direct comparison and publication bias that affects the accuracy of research results.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты